Evidence map›Paper›PMID 24496725›Full record

ArticleG3 (Bethesda, Md.)2014

Genome-wide analysis of functional and evolutionary features of tele-enhancers.

Di Huang, Ivan Ovcharenko

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Di HuangComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20892.
Ivan Ovcharenko

Funding

Regulatory landscape of the human genome: comparative and evolutionary analysis.ZIALM200881 · NLM · NATIONAL LIBRARY OF MEDICINE · PI OVCHARENKO, IVAN · 2009 to 2025
$20.1M
Intramural NIH HHS
6 · The paper itself

Abstract

We investigated sequence features of enhancers separated from their target gene by at least one intermediate gene/exon (named tele-enhancers in this study) and enhancers residing inside their target gene locus. In this study, we used whole genome enhancer maps and gene expression profiles to establish a large panel of tele-enhancers. By contrasting tele-enhancers to proximal enhancers targeting heart genes, we observed that heart tele-enhancers use unique regulatory mechanisms based on the cardiac transcription factors SRF, TEAD, and NKX-2.5, whereas proximal heart enhancers rely on GATA4 instead. A functional analysis showed that tele-enhancers preferentially regulate house-keeping genes and genes with a metabolic role during heart development. In addition, tele-enhancers are significantly more conserved than their proximal counterparts. Similar trends have been observed for non-heart tissues and cell types, suggesting that our findings represent general characteristics of tele-enhancers.

Indexed as

Enhancer Elements, GeneticEvolution, MolecularGenome, HumanBinding SitesCell LineChromatin ImmunoprecipitationHumansMitochondriaMyocardiumPolymorphism, Single NucleotideSequence Analysis, DNASupport Vector MachineTranscription FactorsTranscription Factorsenhancernucleotide divergencesingle-nucleotide polymorphismtissue specificitytranscription factor binding motif

Identifiers

PMID24496725
PMCPMC4059231

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.